Technical and Scientific Reports: The Gains From Sample-Tree Selection with Unequal Probabilities
Abstract:A simple model using urns and marbles facilitates derivation of an apparently novel expression for the nongeometric components of variance of samples selected with equal or unequal probabilities. Further analysis of the expression permits broad conclusions as to the relative merits of equal-probability techniques compared to such unequal-probability techniques as geometric cluster-sampling with probability proportional to size, nongeometric sampling with probability proportional to prediction, and list-sampling. Probability sampling in these three major forms is not being fully exploited in forestry. It is hoped that a simplified picture of potential benefits may dispel latent misgivings.
Document Type: Journal Article
Affiliations: Senior Scientist of the Pioneering Research Unit in Forest Mensuration, Pacific Southwest Forest and Range Expt. Sta., Forest Service, U. S. Dept. Agric., Berkeley, Calif.
Publication date: 1967-03-01
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- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
2015 Impact Factor: 1.476
Ranking: 22 of 66 in forestry
Average time from submission to first decision: 39.6 days*
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